Papers
3
Total Citations
82
H-Index
3
About
Pierre Puget is a pioneering researcher in robotics and geometric uncertainty, whose work has fundamentally shaped how robots perceive and interact with their environments. His primary research areas include 3-D structure measurement, edge-tracking integration, and automated robot programming under uncertainty. Puget’s most influential contribution, the 1992 paper *"Measurement and integration of 3-D structures by tracking edge lines"* (69 citations), introduced novel methods for reconstructing three-dimensional models from sequential edge data, enabling robots to dynamically map and navigate complex spaces. This work laid critical groundwork for modern computer vision and simultaneous localization and mapping (SLAM) systems. Earlier, Puget tackled the challenge of geometric uncertainty in automated robot planning, as seen in his 1989 and 1988 papers (10 and 3 citations, respectively). He applied program verification and correction techniques to ensure that automatically generated robot programs—covering grasping, transport, and assembly—could account for real-world imprecision. By proving that interdependent actions could be made robust to geometric errors, Puget advanced the reliability of autonomous robotic systems. Though his citation counts are modest by today’s standards, his integration of formal methods with practical robotics has influenced subsequent work in uncertainty-aware planning and sensor-based manipulation.
Research Focus
Key Achievements
Top Papers
- 1Measurement and integration of 3-D structures by tracking edge lines69 citations · 1992
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